Prima Tanjung
Jalan Fettes, Kampung Belachan, 11200 Tanjung Bungah, Pulau Pinang, Malaysia
Jalan Fettes, Kampung Belachan, 11200 Tanjung Bungah, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 250,000
|
RM 337
|
743 sqft
|
|
|
|
Level 4
|
RM 270,000
|
RM 364
|
743 sqft
|
|
|
Level 1
|
RM 900,000
|
RM 554
|
1,625 sqft
|
|
|
|
Level 1
|
RM 1,450,000
|
RM 892
|
1,625 sqft
|
|
|
Level 2
|
RM 765,000
|
RM 384
|
1,991 sqft
|
|
Office |
|
Level 4
|
RM 630,000
|
RM 311
|
2,024 sqft
|
|
Office |
|
Level 2
|
RM 760,000
|
RM 376
|
2,024 sqft
|
|
Shop |
|
Level 3
|
RM 710,000
|
RM 351
|
2,024 sqft
|
|
Shop |
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Market Snapshot
CommercialRM 735,000
RM 380 psfMedian transaction price
Prima Tanjung, Jalan Fettes, Kampung Belachan, 11200 Tanjung Bungah, Pulau Pinang, Malaysia
MapsPrima Tanjung in Timur Laut, Penang recorded 10 subsale transactions in 2024, with a median price of RM 735K and a median price per square foot (PSF) of RM 380.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 735K, with most transactions falling within a stable range of RM 384K to RM 1.09 million, and a typical market range of RM 498K to RM 973K.
Most transactions involved shop unit/retail lot, with minimal variety in property types.
Price per square foot shows a median of RM 380, though individual units vary from RM 177 to RM 583 in the core range. The broader market spans RM 302.87 to RM 456.87, indicating diverse property characteristics. A wider spread (IQR: RM 154.00) and deviation (MAD: RM 203) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.